Dataiku

Dataiku Product Jobs

2 jobs found

Today

Data Product Owner

Capgemini Sogeti New York, NY

New York, NY

Today

$80k - $106k/yr Full time Analytics Business Intelligence Data & Ai

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Job Description

Own data product outcomes by partnering with stakeholders, shaping KPIs and requirements, and turning complex datasets into actionable insights.

Responsibilities

Partner with business stakeholders to define key metrics (KPIs) and data requirements
Translate complex datasets into business-oriented insights and recommendations
Drive data accuracy, consistency, and governance across platforms
Run deep-dive analyses to surface trends, risks, and opportunities
Collaborate with data scientists, product managers, and business teams to support strategic initiatives
Support the senior lead with program coordination, including dependency and risk tracking, governance, documentation, meeting cadence, and stakeholder follow-through

Requirements

5+ years of experience as a Data Product Owner or Program Lead
Strong proficiency in SQL and analytics tools
Proven experience in financial services and wealth management domains
Expertise working with stock plans financial data and related business processes
Solid understanding of data modeling architecture and data governance principles
Excellent communication and collaboration skills

Preferred

Familiarity with analytics tools such as Dataiku
Prior experience working with Wealth Management teams

Technologies

SQL
Dataiku

Location

New York, NY (hybrid)

Salary

USD 80,420 - 106,050 per year
Base salary range for the tagged location: $80,420 to $106,050/year

Benefits

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits such as adoption assistance, surrogacy, and cryopreservation
Social well-being benefits including subsidized back-up child/elder care and tutoring
Mentoring, coaching, and learning programs
Employee Resource Groups
Disaster Relief

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1mo ago

AI Product Owner

Prologis San Francisco, CA

San Francisco, CA

1mo ago Closed

$166k - $228k/yr Full time Ai Automation Cloud Platform Data Analysis

This position is no longer accepting applications (closed Sep 2, 2026).

Job Description

The AI Product Owner at Prologis turns AI opportunities into usable product capabilities that strengthen digital experiences and customer self-service while also supporting operations, vendor management, and enterprise workflows. This role is responsible for defining outcomes, shaping delivery priorities, and measuring performance from early discovery through continuous improvement.

Role Scope

Identify, assess, and prioritize AI and automation opportunities across customer engagement, operational enablement, vendor management, procurement workflows, and enterprise technology processes.
Define product vision and scope, including user needs, success metrics, adoption objectives, and measurable business outcomes for prioritized AI initiatives.
Develop business cases and value hypotheses using criteria that include customer impact, business value, feasibility, risk, effort, data readiness, adoption readiness, and strategic alignment.
Own the prioritized product backlog, including epics, user stories, acceptance criteria, dependencies, release priorities, and success measures.

Delivery and Collaboration

Partner with AI Automation Engineers, AI/ML Engineers, platform teams, and delivery partners across discovery, prototyping, build, testing, launch, adoption, and continuous improvement.
Facilitate stakeholder workshops, workflow assessments, interviews, user research, and independent research to validate use cases, resolve tradeoffs, and convert insights into clear product requirements.
Support responsible adoption and performance measurement by aligning governance, planning launches, and coordinating training, documentation, communications, change management, and reporting.

Success Measurement

Track and report on adoption and impact across productivity, customer satisfaction, operational savings, cycle time, and ROI, ensuring continuous improvement as capabilities evolve.